The Relationship Between Unified Growth Theory, Demographic Transition and Population: Empirical Evidence from E-7 Countries

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Abstract

This study investigates the interaction of fertility, education, and long-run growth. In this context, the relationship between fertility, education, and long-run growth is analyzed using the "Panel ARDL Method PMG Estimator" with the help of the 2002-2022 data set for E-7 countries. The study's analysis includes GDP, life expectancy, mortality rate, population density, and rural areas. According to the results of the analysis, fertility has a direct and negative effect on education. In addition, GDP, life expectancy, mortality rate, population density, and rural population density significantly and positively affect education levels. On the other hand, according to the study's findings, education has a direct and positive effect on fertility. There is also a significant and positive relationship between life expectancy, mortality rate, rural population rate, and fertility. In contrast, GDP and population density significantly but negatively affect fertility. The study's findings imply that factors such as income level, life expectancy, population density, urbanization, mortality rate, and birth rate affect the level of education and shape economic growth in the long run. Similarly, these findings confirm that social factors such as education and health shape the demographic structure while supporting economic growth.
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Preprint ARPHA Preprints https://doi.org/10.3897/arphapreprints.e152730 (13 Mar 2025) https://doi.org/10.3897/arphapreprints.e152730 (13 Mar 2025) Other versions: - Preprint InfoPreprint Info - CiteCite - MetricsMetrics - CommentComment - RelatedRelated - CitedCited ARPHA Preprints doi: 10.3897/arphapreprints.e152730 First posted 13 Mar 2025 Authors Emrah Dogan - Corresponding author Istanbul Gelisim University, Istanbul, Turkiye İstanbul Gelişim University, istanbul, Turkiye Istanbul Gelisim University, İstanbul, Turkiye Conflict of interest The authors have declared that no competing interests exist. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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last seen: 2026-05-20T01:45:00.602351+00:00